Reduce operational overhead with self-service registration and automated session management through Discord integration. Enable testers to instantly access games through browser-based streaming.
Overview
This Guidance helps game developers securely manage and scale their quality assurance (QA) and playtesting efforts using an AWS-based solution. This Guidance provides a web-based console for uploading game builds, configuring testing campaigns, inviting and managing testers, and reviewing session data and tester feedback powered by Amazon Bedrock for summarization and sentiment analysis. It integrates with AWS services like Amazon GameLift Streams and Amazon CloudFront to streamline the distribution of game content and sharing of client builds via streaming technology. With this Guidance, developers can scale their testing efforts anywhere in the world on-demand, increase testing frequency with no locally installed builds, protect intellectual property by reducing the risk of pre-release content leaks, and accelerate game improvements with GenAI player feedback and sentiment summaries.
Benefits
Streamline playtester onboarding and management
Scale playtesting operations effortlessly
Leverage serverless architecture to automatically handle varying playtest demands without infrastructure management. Pay only for actual testing sessions while maintaining consistent performance.
Accelerate feedback insights with AI-powered analysis
Transform playtesting feedback into actionable insights using GenAI summarization and sentiment analysis. Make informed decisions faster with automated analysis of player responses and structured data management.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Step 1
Deploy with confidence
Everything you need to launch this Guidance in your account is right here.
Let's make it happen
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.